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tmp_trainer – AI Model by ViHr | AlphaNeural AI
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ViHr
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tmp_trainer
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
ViHr/xlm-roberta-base-finetuned-formality
finetune
text-embeddings-inference
endpoints_compatible
us
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tmp_trainer
This model is a fine-tuned version of
ViHr/xlm-roberta-base-finetuned-formality
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
